[ https://issues.apache.org/jira/browse/MAPREDUCE-3235?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Gopal V updated MAPREDUCE-3235:
-------------------------------
Attachment: hashed-sort-MAPREDUCE-3235.patch
Update patch to trunk.
Move the byte[] into an int and place it into the HashComparator interface instead of into
Comparables
> Improve CPU cache behavior in map side sort
> -------------------------------------------
>
> Key: MAPREDUCE-3235
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-3235
> Project: Hadoop Map/Reduce
> Issue Type: Improvement
> Components: performance, task
> Affects Versions: 0.23.0
> Reporter: Todd Lipcon
> Assignee: Todd Lipcon
> Attachments: hashed-sort-MAPREDUCE-3235.patch, map_sort_perf.diff, mr-3235-poc.txt
>
>
> When running oprofile on a terasort workload, I noticed that a large amount of CPU usage
was going to MapTask$MapOutputBuffer.compare. Upon disassembling this and looking at cycle
counters, most of the cycles were going to memory loads dereferencing into the array of key-value
data -- implying expensive cache misses. This can be avoided as follows:
> - rather than simply swapping indexes into the kv array, swap the entire meta entries
in the meta array. Swapping 16 bytes is only negligibly slower than swapping 4 bytes. This
requires adding the value-length into the meta array, since we used to rely on the previous-in-the-array
meta entry to determine this. So we replace INDEX with VALUELEN and avoid one layer of indirection.
> - introduce an interface which allows key types to provide a 4-byte comparison proxy.
For string keys, this can simply be the first 4 bytes of the string. The idea is that, if
stringCompare(key1.proxy(), key2.proxy()) != 0, then compare(key1, key2) should have the same
result. If the proxies are equal, the normal comparison method is used. We then include the
4-byte proxy as part of the metadata entry, so that for many cases the indirection into the
data buffer can be avoided.
> On a terasort benchmark, these optimizations plus an optimization to WritableComparator.compareBytes
dropped the aggregate mapside CPU millis by 40%, and the compare() routine mostly dropped
off the oprofile results.
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